#' @include utilities.R ggplot2.customize.R
NULL
#' Easy line plot plot with R package ggplot2
#' @description Draw a line plot using ggplot2
#' @param data data.frame or a numeric vector. Columns are variables and rows
#' are observations.
#' @param xName The name of column containing x variable (i.e groups).
#' @param yName The name of column containing y variable.
#' @param groupName The name of column containing group variable. This variable
#' is used to color plot according to the group.
#' @param addPoint If TRUE, points are added to the plot. Default value is
#' FALSE.
#' @param pointSize,pointShape,pointFill,pointColor Modify point size, shape,
#' fill and color.
#' @param arrow arrow is function from package grid. This function Describe
#' arrows to add to a line. See ?grid::arrow for more details. Usage :
#' arrow=arrow(). Default value is NULL.
#' @param xAxisType Indicate the type of x-axis. Possible values
#' =c("categorical", "continuous"). Default value is "categorical". When the
#' variable on the x-axis is numeric, it is sometimes useful to treat it as
#' continuous, and sometimes useful to treat it as categorical.
#' @param groupColors Color of groups. groupColors should have the same length
#' as groups.
#' @param brewerPalette This can be also used to indicate group colors. In this
#' case the parameter groupColors should be NULL. e.g: brewerPalette="Paired".
#' @param ... Other arguments passed on to ggplot2.customize custom function
#' or to geom_line functions from ggplot2 package.
#' @return a ggplot
#' @author Alboukadel Kassambara <alboukadel.kassambara@@gmail.com>
#' @seealso \code{\link{ggplot2.barplot}}
#' @references http://www.sthda.com
#' @examples
#'
#' #data
#' df <- data.frame(time = factor(c("Lunch","Dinner"), levels=c("Lunch","Dinner")),
#' total_bill = c(14.89, 17.23))
#'
#' #plot
#' ggplot2.lineplot(data=df, xName="time", yName='total_bill',
#' mainTitle="Plot of total bill\n per time of day",
#' xtitle="Time of day", ytitle="Total bill")
#'
#' #Or use this
#' plot<-ggplot2.lineplot(data=df, xName="time", yName='total_bill')
#' plot<-ggplot2.customize(plot, mainTitle="Plot of total bill\n per time of day",
#' xtitle="Time of day", ytitle="Total bill")
#' print(plot)
#'
#' @export ggplot2.lineplot
ggplot2.lineplot<-function(data, xName, yName, groupName=NULL,
addPoint=FALSE, pointSize=1.5, pointShape=19, pointFill=NULL, pointColor="black",
arrow=NULL, xAxisType=c("categorical", "continuous"),
groupColors=NULL, brewerPalette=NULL,
...)
{
spms <- .standard_params(...)
data=data.frame(data)
if(xAxisType[1]=="categorical") data[,xName]=factor(data[,xName])
else if(xAxisType[1]=="continuous") data[,xName] = as.numeric(data[,xName])
#basic graphs
#+++++++++++++++++++++++
if(is.null(groupName)){
p<-ggplot(data=data, aes_string(x=xName, y=yName, group=1))
p<-p+geom_line(arrow=arrow, linetype = spms$linetype,
color = spms$color, size = spms$size)
if(is.null(pointFill)) pointFill="white"
if(addPoint) p<-p+geom_point(colour=pointColor, size=pointSize,shape=pointShape, fill=pointFill)
}
# graphs with groups: Set color/shape by another variable
#+++++++++++++++++++++++
else{
data[,groupName]=factor(data[,groupName])#transform groupName to factor
p<-ggplot(data=data, aes_string(x=xName, y=yName,group=groupName, color=groupName,linetype=groupName,
shape=groupName, fill=groupName ))
p<-p+geom_line(arrow=arrow)
if(addPoint){
if(is.null(pointFill)) p<-p+geom_point(size=pointSize)
else p<-p+geom_point(size=pointSize, fill=pointFill)
}
}
#group colors
if(!is.null(groupColors)){
p<-p+scale_fill_manual(values=groupColors)
p<-p+scale_colour_manual(values=groupColors)
}
else if(!is.null(brewerPalette)){
p<-p+scale_fill_brewer(palette=brewerPalette)
p<-p+scale_colour_brewer(palette=brewerPalette, guide="none")
}
#ggplot2.customize : titles, colors, background, legend, ....
p<-ggplot2.customize(p,...)
p
}
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